Qwen 3.8 27Bvs.Mistral Large 3
Which one is better?
Qwen 3.8 27B is clearly ahead in the overall index. Qwen 3.8 27B is cheaper for input, Mistral Large 3 for output.
Qwen 3.8 27B
Rank 44 to 57
Mistral Large 3
Rank 88 to 94
Qwen 3.8 27B
slow
Mistral Large 3
fairly slow
Qwen 3.8 27B
fairly cheap
Mistral Large 3
fairly cheap
Qwen 3.8 27B
- Subscription
No Alibaba subscription includes this model. Through other providers from ≈ €1.06 a month (Command Code Go, with limited credits). 10 plans in Germany.
- Via API
$0.04 input, $2.50 output per 1M tokens according to the provider; the price index has listed it at $0.42 and $3 since Oct 27, 2026.
Mistral Large 3
- Subscription
No Mistral AI subscription includes this model. Through other providers only in team or business plans, from €29.75 a month per seat (Langdock Business Standard). 2 plans in Germany.
- Via API
$0.50 input, $1.50 output per 1M tokens, unchanged since our price tracking began on Aug 14, 2026.
Overall index with data through Oct 29, 2026 · Prices from Oct 29, 2026 · Speed: measured by Artificial Analysis · Subscriptions as of Oct 24, 2026 · Subscription prices incl. VAT
Where is the difference?
Values from 0 to 100 per task area. We only name a winner when the gap is large enough and there are enough tests.
Qwen 3.8 27B ahead: 9Mistral Large 3 ahead: 0level: 0too little data: 1of 10 areas
Show 1 more areas that do not count toward the overall index
See for yourself: same task, one attempt
SVG short test
One SVG task with the same fixed settings for every model, without hidden thinking.
Shared test round: 43b8c5c46830
Qwen 3.8 27B
Test details
API reports 0 reasoning tokensAPI model: qwen/qwen3.8-27b865 output tokensMistral Large 3
API request failed. The model was not evaluated.
Earlier tests
Pelican on a bicycle
A community classic for free-form SVG drawing.
Qwen 3.8 27B
Not tested yet
Mistral Large 3
Reasoning (model default): no reasoning mode Source
Current attempt
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- mistralai/mistral-large-2512
- API model reported in response
- mistralai/mistral-large-2512
- Reasoning setting
- not specified
- Pinned endpoint
- Mistral | mistralai/mistral-large-2512
- Temperature
- Provider default
- Token limit including reasoning
- 8,192 tokens
- Test protocol
- community-visual-tests-v1
- Technical checks
- Passed, not a quality rating
- Response time
- 14.2 s
Visually reviewed. This individual test does not establish overall model quality.
Earlier attempts (1)
- Sep 7, 2026API request failedReasoning setting: not specified
Prompt and test conditions
Generate an SVG of a pelican riding a bicycle
Token limit including reasoning: 8,192 tokens
Task origin (Simon Willison)All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | Qwen 3.8 27B | Mistral Large 3 |
|---|---|---|
| Intelligence | ||
| Overall index0 to 100, higher is better | 11 | below 1 |
| Rank | Rank 44 to 57 of 95 | Rank 88 to 94 of 95 |
| Price per 1M tokens | ||
| Inputwhat you send | $0.04 | $0.50 |
| Outputwhat the model writes | $2.50 | $1.50 |
| Speed | ||
| Tokens per second | 40 | 84 |
| Technical | ||
| Context windowhow much text the model reads at once | 262,144 tokens≈ 390 A4 pages | 262,144 tokens≈ 390 A4 pages |
| Knowledge cutoff | n/a | n/a |
| Released | Aug 14, 2026 | Dec 2, 2025 |
| Availability | Active | Active |
| Open weights | yes | yes |
Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis
Shared benchmarks
Single results from the same benchmark version, task and metric. A value is bold only with the same test setup and a clear gap.
A: Qwen 3.8 27BB: Mistral Large 3
Show 30 more benchmarks
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